Newswise,
February 21, 2016--A
recent study by University
of Alabama at Birmingham student assistant John Booth, III, and UAB Department of
Epidemiology Professor and Vice Chair Gerald
McGwin, Ph.D., published in Sleep Medicine linked the use of prescription sleep
medicines containing zolpidem among aged drivers and the incidence of motor
vehicle collisions.
“Due to the
side effects of such drugs — including drowsiness upon waking and impaired
coordination, current zolpidem users age 80 and older, as well as those who are
female, experienced higher rates of MVCs than nonusers,” said Booth, a Ph.D.
candidate in UAB’s Department of Epidemiology.
“We
recommend that health care practitioners consider proposing behavioral
treatment before prescribing zolpidem to restore sleep in women and patients
over age 80 to reduce the risk of MVCs associated with this prescription drug.”
In the
overall sample, the unadjusted 5-year motor vehicle collision rate was 46
percent higher for current zolpidem users versus nonusers.
More
specifically, the unadjusted 5-year motor vehicle collision rate was 65 percent
higher for females and 23 percent higher in males who used zolpidem. For those
80 years of age and older, the unadjusted 5-year motor vehicle collision rate
was 124 percent higher for zolpidem users compared with nonusers.
According to
the National Institutes of Health National
Center for Complementary and Integrative Health, possible treatment
alternatives to sleep medications include relaxation techniques, melatonin
supplements, mind and body approaches such as meditation, as well as stimulus
control such as consistent sleep schedules, and avoiding caffeine and alcohol.
A total of
2,000 north central Alabama zolpidem users, age 70 and up, who had driven
within the previous three months and held a valid driver’s license were
studied.
The
researchers evaluated each participant’s five-year MVC history, obtained from
the Alabama Department of Public Safety, and then estimated at-fault MVC rate
ratios by comparing zolpidem users’ and nonusers’ data in age- and sex-defined
subgroups.
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